Shape Structure

Shape structure research focuses on representing and manipulating 3D shapes effectively, aiming for accurate reconstruction, generation, and editing. Current efforts concentrate on developing novel algorithms and model architectures, such as transformers and diffusion models, often incorporating learned shape priors or employing sparse representations to improve efficiency and generalization across diverse shape categories. This work is crucial for advancing fields like medical imaging, autonomous driving, and computer-aided design, enabling improved 3D model creation, analysis, and manipulation in various applications.